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03/10/2023
Ignorance is Bliss: Robust Control via Information Gating
Informational parsimony – i.e., using the minimal information required f...
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06/09/2021
Pretraining Representations for Data-Efficient Reinforcement Learning
Data efficiency is a key challenge for deep reinforcement learning. We a...
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07/27/2020
Representation Learning with Video Deep InfoMax
Self-supervised learning has made unsupervised pretraining relevant agai...
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07/12/2020
Data-Efficient Reinforcement Learning with Momentum Predictive Representations
While deep reinforcement learning excels at solving tasks where large am...
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06/12/2020
Deep Reinforcement and InfoMax Learning
Our work is based on the hypothesis that a model-free agent whose repres...
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06/03/2019
Learning Representations by Maximizing Mutual Information Across Views
We propose an approach to self-supervised representation learning based ...
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09/07/2018
Learning Invariances for Policy Generalization
While recent progress has spawned very powerful machine learning systems...
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07/11/2018
VFunc: a Deep Generative Model for Functions
We introduce a deep generative model for functions. Our model provides a...
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02/27/2018
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Learning inter-domain mappings from unpaired data can improve performanc...
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09/19/2017
Deep Reinforcement Learning that Matters
In recent years, significant progress has been made in solving challengi...
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05/04/2017
Machine Comprehension by Text-to-Text Neural Question Generation
We propose a recurrent neural model that generates natural-language ques...
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11/29/2016
NewsQA: A Machine Comprehension Dataset
We present NewsQA, a challenging machine comprehension dataset of over 1...
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06/11/2016
Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data
Natural language generation plays a critical role in spoken dialogue sys...
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06/07/2016
Iterative Alternating Neural Attention for Machine Reading
We propose a novel neural attention architecture to tackle machine compr...
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06/10/2015
Data Generation as Sequential Decision Making
We connect a broad class of generative models through their shared relia...
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12/16/2014
Learning with Pseudo-Ensembles
We formalize the notion of a pseudo-ensemble, a (possibly infinite) coll...
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06/27/2012
